Segment connector

Set up the Segment connector in Kaivo: authentication, configuration, the 14 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated 15 days ago

Kaivo is a fully managed data platform that syncs your Segment data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your marketing and sales data instead of moving it.

What is the Segment connector

Sync your Segment workspace metadata into BigQuery with Kaivo to audit sources, destinations, and usage across your data pipeline.

Category	Marketing & Sales, Tech
Authentication	API key
Setup	Self-service

Getting started with the Segment connector

Sign up for Kaivo and create a workspace.
Connect your Segment account.
Choose which tables to sync.
Wait for the initial sync to finish.
Query your data in BigQuery or your favourite AI or BI tool.

Authenticating Segment

Authenticate with your API Token.

Field	Description
API Token	API token to use. Generate it in Segment's Workspace settings.

Configuring the Segment connector

When you set up the connector, you provide:

Field	Description
Region	The Segment API region your workspace is hosted in.
Start Date	Any data before this date will not be fetched.

Tables and columns synced from Segment

Kaivo syncs 14 tables from Segment into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

audit_events (5 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`description`	`STRING`
`id`	`STRING`
`name`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

catalog_destinations (26 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`description`	`STRING`
`id`	`STRING`
`logos__default`	`STRING`
`logos__mark`	`STRING`
`name`	`STRING`
`partner_owned`	`BOOL`
`slug`	`STRING`
`status`	`STRING`
`supported_features__browser_unbundling`	`BOOL`
`supported_features__browser_unbundling_public`	`BOOL`
`supported_features__cloud_mode_instances`	`STRING`
`supported_features__device_mode_instances`	`STRING`
`supported_features__replay`	`BOOL`
`supported_methods__alias`	`BOOL`
`supported_methods__group`	`BOOL`
`supported_methods__identify`	`BOOL`
`supported_methods__pageview`	`BOOL`
`supported_methods__track`	`BOOL`
`supported_platforms__browser`	`BOOL`
`supported_platforms__cloud_app_object`	`BOOL`
`supported_platforms__mobile`	`BOOL`
`supported_platforms__server`	`BOOL`
`supported_platforms__warehouse`	`BOOL`
`website`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

catalog_sources (12 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`description`	`STRING`
`id`	`STRING`
`is_cloud_event_source`	`BOOL`
`logos__alt`	`STRING`
`logos__default`	`STRING`
`logos__mark`	`STRING`
`name`	`STRING`
`partner_owned`	`BOOL`
`slug`	`STRING`
`status`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

catalog_sources__categories (4 columns)
catalog_sources__options (8 columns)

catalog_warehouses (9 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`description`	`STRING`
`id`	`STRING`
`logos__alt`	`STRING`
`logos__default`	`STRING`
`logos__mark`	`STRING`
`name`	`STRING`
`slug`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

catalog_warehouses__options (6 columns)

destinations (129 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`metadata__description`	`STRING`
`metadata__id`	`STRING`
`metadata__logos__default`	`STRING`
`metadata__logos__mark`	`STRING`
`metadata__name`	`STRING`
`metadata__partner_owned`	`BOOL`
`metadata__slug`	`STRING`
`metadata__status`	`STRING`
`metadata__supported_features__browser_unbundling`	`BOOL`
`metadata__supported_features__browser_unbundling_public`	`BOOL`
`metadata__supported_features__cloud_mode_instances`	`STRING`
`metadata__supported_features__device_mode_instances`	`STRING`
`metadata__supported_features__replay`	`BOOL`
`metadata__supported_methods__alias`	`BOOL`
`metadata__supported_methods__group`	`BOOL`
`metadata__supported_methods__identify`	`BOOL`
`metadata__supported_methods__pageview`	`BOOL`
`metadata__supported_methods__track`	`BOOL`
`metadata__supported_platforms__browser`	`BOOL`
`metadata__supported_platforms__cloud_app_object`	`BOOL`
`metadata__supported_platforms__mobile`	`BOOL`
`metadata__supported_platforms__server`	`BOOL`
`metadata__supported_platforms__warehouse`	`BOOL`
`metadata__website`	`STRING`
`enabled`	`BOOL`
`id`	`STRING`
`name`	`STRING`
`settings__account`	`STRING`
`settings__account_id`	`STRING`
`settings__activator`	`STRING`
`settings__allow_ad_personalization_signals`	`BOOL`
`settings__allow_google_signals`	`BOOL`
`settings__anonymize_ip`	`BOOL`
`settings__api_base`	`STRING`
`settings__api_key`	`STRING`
`settings__app_id`	`STRING`
`settings__automatic_configuration`	`BOOL`
`settings__classic`	`BOOL`
`settings__collect_context`	`BOOL`
`settings__conversion_linker`	`BOOL`
`settings__cookie_domain`	`STRING`
`settings__cookie_expiration_in_seconds`	`FLOAT64`
`settings__cookie_flags`	`STRING`
`settings__cookie_path`	`STRING`
`settings__cookie_prefix`	`STRING`
`settings__cookie_update`	`BOOL`
`settings__default_ads_storage_consent_state`	`STRING`
`settings__default_analytics_storage_consent_state`	`STRING`
`settings__default_page_conversion`	`STRING`
`settings__disable_ad_personalization`	`BOOL`
`settings__domain`	`STRING`
`settings__double_click`	`BOOL`
`settings__enable_consent_mode`	`BOOL`
`settings__enable_server_identify`	`BOOL`
`settings__enhanced_ecommerce`	`BOOL`
`settings__enhanced_link_attribution`	`BOOL`
`settings__floodlight_account_id`	`STRING`
`settings__identify_category`	`STRING`
`settings__identify_event_name`	`STRING`
`settings__include_search`	`BOOL`
`settings__init_with_existing_traits`	`BOOL`
`settings__is_bulk_api_enabled`	`BOOL`
`settings__key_for_external_id`	`STRING`
`settings__limited_data_use`	`BOOL`
`settings__measurement_id`	`STRING`
`settings__mobile_api_key`	`STRING`
`settings__mobile_tracking_id`	`STRING`
`settings__name_tracker`	`BOOL`
`settings__non_interaction`	`BOOL`
`settings__oauth__access_token`	`STRING`
`settings__oauth__app_id`	`STRING`
`settings__oauth__app_name`	`STRING`
`settings__oauth__created_at`	`STRING`
`settings__oauth__created_by`	`STRING`
`settings__oauth__display_name`	`STRING`
`settings__optimize`	`STRING`
`settings__page_view`	`BOOL`
`settings__partner_id`	`STRING`
`settings__pixel_id`	`STRING`
`settings__prefer_anonymous_id`	`BOOL`
`settings__report_uncaught_exceptions`	`BOOL`
`settings__sample_rate`	`FLOAT64`
`settings__secret_key`	`STRING`
`settings__send_page_view`	`BOOL`
`settings__send_user_id`	`BOOL`
`settings__serverside_classic`	`BOOL`
`settings__serverside_tracking_id`	`STRING`
`settings__set_all_mapped_props`	`BOOL`
`settings__site_speed_sample_rate`	`FLOAT64`
`settings__standard_events__book_bookkeeping_call_completed`	`STRING`
`settings__standard_events__book_a_demo_cta_click`	`STRING`
`settings__standard_events__book_accountant_call_cta_click`	`STRING`
`settings__standard_events__booked_demo`	`STRING`
`settings__standard_events__calendly_appointment_booked`	`STRING`
`settings__standard_events__ltd_free_registration_completed`	`STRING`
`settings__standard_events__ltd_pro_registration_completed`	`STRING`
`settings__standard_events__ltd_sub_created_pro`	`STRING`
`settings__standard_events__ltd_sub_created_unlimited`	`STRING`
`settings__standard_events__ltd_sub_created_yearly_pro`	`STRING`
`settings__standard_events__ltd_sub_created_yearly_unlimited`	`STRING`
`settings__standard_events__ltd_unlimited_registration_completed`	`STRING`
`settings__standard_events__ltd_yearly_pro_registration_completed`	`STRING`
`settings__standard_events__ltd_yearly_unlimited_registration_completed`	`STRING`
`settings__standard_events__main_cta_click`	`STRING`
`settings__standard_events__registration_started`	`STRING`
`settings__standard_events__sa_webinar_tracking`	`STRING`
`settings__standard_events__st_free_registration_completed`	`STRING`
`settings__standard_events__st_pro_registration_completed`	`STRING`
`settings__standard_events__st_sub_created_pro`	`STRING`
`settings__standard_events__st_sub_created_unlimited`	`STRING`
`settings__standard_events__st_sub_created_yearly_pro`	`STRING`
`settings__standard_events__st_sub_created_yearly_unlimited`	`STRING`
`settings__standard_events__st_unlimited_registration_completed`	`STRING`
`settings__standard_events__st_yearly_pro_registration_completed`	`STRING`
`settings__standard_events__st_yearly_unlimited_registration_completed`	`STRING`
`settings__tag_id`	`STRING`
`settings__top_level_context_mapping`	`BOOL`
`settings__track_categorized_pages`	`BOOL`
`settings__track_named_pages`	`BOOL`
`settings__tracking_id`	`STRING`
`settings__type_override`	`BOOL`
`settings__use_google_amp_client_id`	`BOOL`
`settings__user_deletion`	`STRING`
`settings__user_id_as_external_id`	`BOOL`
`settings__value_identifier`	`STRING`
`settings__wait_time_to_update_consent_stage`	`FLOAT64`
`source_id`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

destinations__metadata__actions (10 columns)
destinations__metadata__actions__fields (16 columns)
destinations__metadata__actions__fields__choices (5 columns)
destinations__metadata__categories (4 columns)
destinations__metadata__components (6 columns)
destinations__metadata__contacts (7 columns)
destinations__metadata__options (8 columns)
destinations__metadata__options__default_value (4 columns)
destinations__metadata__presets (7 columns)
destinations__metadata__previous_names (4 columns)
destinations__metadata__region_endpoints (4 columns)
destinations__metadata__supported_regions (4 columns)
destinations__settings__blacklist_pii_properties (4 columns)
destinations__settings__click_conversions (6 columns)
destinations__settings__ignored_referrers (4 columns)
destinations__settings__page_load_conversions (6 columns)
destinations__settings__reset_custom_dimensions_on_page (4 columns)
destinations__settings__rich_link_properties (4 columns)
destinations__settings__standard_events_custom_properties (4 columns)
destinations__settings__whitelist_pii_properties (4 columns)

labels (5 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`description`	`STRING`
`key`	`STRING`
`value`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

reverse_etl_models (12 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`description`	`STRING`
`enabled`	`BOOL`
`id`	`STRING`
`name`	`STRING`
`query`	`STRING`
`query_identifier_column`	`STRING`
`schedule_config__interval`	`STRING`
`schedule_config__timezone`	`STRING`
`schedule_strategy`	`STRING`
`source_id`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

reverse_etl_models__schedule_config__days (4 columns)
reverse_etl_models__schedule_config__hours (4 columns)

sources (19 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`metadata__description`	`STRING`
`metadata__id`	`STRING`
`metadata__is_cloud_event_source`	`BOOL`
`metadata__logos__alt`	`STRING`
`metadata__logos__default`	`STRING`
`metadata__logos__mark`	`STRING`
`metadata__name`	`STRING`
`metadata__partner_owned`	`BOOL`
`metadata__slug`	`STRING`
`metadata__status`	`STRING`
`enabled`	`BOOL`
`id`	`STRING`
`name`	`STRING`
`settings__location`	`STRING`
`settings__website_url`	`STRING`
`slug`	`STRING`
`workspace_id`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

sources__metadata__categories (4 columns)
sources__metadata__options (8 columns)
sources__labels (5 columns)
sources__write_keys (4 columns)

spaces (5 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`id`	`STRING`
`name`	`STRING`
`slug`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

transformations (11 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`destination_id`	`STRING`
`destination_metadata_id`	`STRING`
`drop`	`BOOL`
`enabled`	`BOOL`
`id`	`STRING`
`if`	`STRING`
`name`	`STRING`
`source_id`	`STRING`
`workspace_id`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

transformations__allow_properties (4 columns)
transformations__property_drops (4 columns)
transformations__property_renames (4 columns)
transformations__property_value_transformations (4 columns)

usage_api_calls_daily (4 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`api_calls`	`STRING`
`timestamp`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

usage_mtu_daily (9 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`anonymous`	`STRING`
`anonymous_identified`	`STRING`
`identified`	`STRING`
`never_identified`	`STRING`
`period_end`	`FLOAT64`
`period_start`	`FLOAT64`
`timestamp`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

users (5 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`email`	`STRING`
`id`	`STRING`
`name`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

users__permissions (5 columns)
users__permissions__resources (5 columns)
users__permissions__resources__labels (4 columns)

warehouses (17 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`metadata__description`	`STRING`
`metadata__id`	`STRING`
`metadata__logos__alt`	`STRING`
`metadata__logos__default`	`STRING`
`metadata__logos__mark`	`STRING`
`metadata__name`	`STRING`
`metadata__slug`	`STRING`
`enabled`	`BOOL`
`id`	`STRING`
`settings__ciphertext`	`STRING`
`settings__encrypted`	`BOOL`
`settings__gc_project`	`STRING`
`settings__location`	`STRING`
`settings__name`	`STRING`
`workspace_id`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Nested subtables

Repeating fields are split into their own tables, listed here with their column counts.

warehouses__metadata__options (6 columns)

How the Segment sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Segment supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for Segment?

It depends on how much history is in your Segment account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when Segment's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Segment, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Segment instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Segment connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Segment data

Pipeline inventory

Use sources and destinations to document how data flows through Segment.

Usage tracking

Bring usage_api_calls_daily and usage_mtu_daily into BigQuery to monitor volume and cost.

Configuration audit

Join warehouses and transformations to review how your pipeline is set up.

Change audit

Use audit_events to track who changed what across your workspace.

Use Segment data in your AI and BI tools

Once Segment data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Segment data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for Segment connector pricing and plan details.

Google Ads: Sync Google Ads to BigQuery.
Custobar: Sync Custobar to BigQuery.
Google Search Console: Sync Google Search Console to BigQuery.
HubSpot: Sync HubSpot to BigQuery.
Adform: Sync Adform to BigQuery.
Amplitude: Sync Amplitude to BigQuery.

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What is the Segment connector

Getting started with the Segment connector

Authenticating Segment

Configuring the Segment connector

Tables and columns synced from Segment

Nested subtables

Nested subtables

Nested subtables

Nested subtables

Nested subtables

Nested subtables

Nested subtables

Nested subtables

Nested subtables

How the Segment sync works

Frequently asked questions

How long does the initial sync take for Segment?

Can I sync only some tables or columns?

What happens when Segment's schema changes?

How do I handle GDPR or data deletion requests?

Common use cases for Segment data

Pipeline inventory

Usage tracking

Configuration audit

Change audit

Use Segment data in your AI and BI tools

Claude

Power BI

Data Studio

Tableau

Google Sheets

Excel

Metabase

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